Course : ISO/IEC 42001 Artificial Intelligence Management System Lead Implementer, PECB Certification

Practical course - 5d - 35h00 - Ref. IMI
Price : 4480 CHF E.T.

ISO/IEC 42001 Artificial Intelligence Management System Lead Implementer, PECB Certification



New edition of the course schedule

This course will equip you with the skills required to plan, implement, manage, monitor, maintain, and continuously improve an Artificial Intelligence Management System (AIMS).


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. IMI
  5d - 35h00
4480 CHF E.T.




This course will equip you with the skills required to plan, implement, manage, monitor, maintain, and continuously improve an Artificial Intelligence Management System (AIMS).


Teaching objectives
At the end of the training, the participant will be able to:
Explain the key concepts and fundamental principles of an AIMS in accordance with ISO/IEC 42001
Interpret the ISO/IEC 42001 requirements applicable to an AIMS from an Implementer’s perspective
Initiate and plan the implementation of an AIMS in accordance with ISO/IEC 42001
Support an organization in operating, maintaining, and continually improving an AIMS
Prepare an organization for a third-party certification audit

Intended audience
Professionals responsible for overseeing and managing AI projects

Prerequisites
General knowledge of AI Management Systems and ISO/IEC 42001 is recommended.

Certification

Course schedule

1
Introduction to the ISO/IEC 42001 Standard and Initiating an AIMS Implementation

  • Objectives and structure of the training
  • Standards and regulatory frameworks
  • Artificial Intelligence Management System (AIMS)
  • Fundamental AI concepts and principles
  • Approaches to AIMS implementation
  • Leadership and project approval
  • Roles and responsibilities

2
AIMS Implementation Plan

  • The organization and its context
  • Defining the AIMS scope
  • Analyzing the existing system
  • AI policy
  • AI risk management
  • Statement of applicability

3
Implementing an AIMS

  • Selecting and designing controls
  • Implementing controls
  • Managing documented information
  • Communication
  • Competence and awareness
  • Managing AI operations

4
Monitoring, Continuous Improvement, and Preparing for the AIMS Certification Audit

  • Monitoring, measurement, analysis, and evaluation
  • Internal audit
  • Management review
  • Handling nonconformities
  • Continuous improvement
  • Preparing for the certification audit

5
Competency Domains Covered by the Exam

  • Domain 1: Principles and fundamental concepts of an Artificial Intelligence Management System (AIMS)
  • Domain 2: Requirements for an Artificial Intelligence Management System
  • Domain 3: Planning the implementation of an AIMS in accordance with ISO/IEC 42001
  • Domain 4: Implementing an AIMS in accordance with ISO/IEC 42001
  • Domain 5: Monitoring and measuring an AIMS in accordance with ISO/IEC 42001
  • Domain 6: Continuous improvement and preparing for an AIMS certification audit


Customer reviews
4 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
MERYEM H.
16/03/26
5 / 5

The class went really well and was of a very high standard – thanks to the teacher!
NJEL ANGELA N.
16/03/26
4 / 5

Very dense but really interesting
THIBAUD B.
24/11/25
3 / 5

Lack of practical experience, particularly on the risk analysis part of the course, which prepares you for the exam but not really for setting up the SMIA.



Publication date : 02/21/2025



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 21 to 25 September 2026 *
FR
Remote class
Registration
From 30 November to 4 December 2026 *
FR
Remote class
Registration
From 30 November to 4 December 2026
EN
Remote class
Registration
From 8 to 12 February 2027
FR
Remote class
Registration
From 8 to 12 February 2027
EN
Remote class
Registration
From 10 to 14 May 2027
FR
Remote class
Registration
From 10 to 14 May 2027
EN
Remote class
Registration
From 30 August to 3 September 2027
FR
Remote class
Registration
From 30 August to 3 September 2027
EN
Remote class
Registration
From 29 November to 3 December 2027
FR
Remote class
Registration
From 29 November to 3 December 2027
EN
Remote class
Registration

REMOTE CLASS
2026 : 21 Sep., 30 Nov., 30 Nov.

2027 : 8 Feb., 8 Feb., 10 May, 10 May, 30 Aug., 30 Aug., 29 Nov., 29 Nov.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.